Performance of the MSI-2 Database for Fungal Identification by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry from Cleanroom Environments.
Performance of the MSI-2 Database for Fungal Identification by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry from Cleanroom Environments.
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MSI-2 数据库在洁净室环境中通过基质辅助激光解吸电离飞行时间质谱法识别真菌的性能。
DOI：
10.1128/jcm.01353-22
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发表时间：
2023
影响因子：
9.4
通讯作者：
Lau,AnnaF
中科院分区：
文献类型：
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作者：
Trivitt,GloriaE;Lau,AnnaF
通过基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）进行准确的霉菌鉴定取决于可用数据库中的稳健生物体表示。质谱鉴定（MSI）平台已被证明在临床和兽医环境中用于霉菌鉴定是成功的，但尚未对大量环境分离株进行研究。在这里，我们使用Bruker MALDI Biotyper（MBT）v4.1 microflex LT仪器收集的光谱进行了一项回顾性研究，以评估MSI-2数据库以及Bruker MBT（包括MBT丝状真菌库）和美国国立卫生研究院（NIH）霉菌数据库（MBT/NIH数据库）的组合使用。对从医院药房和细胞治疗室培养的462株环境真菌分离株（代表73种不同的真菌）进行了分析，作为NIH当前良好生产规范（cGMP）环境监测计划的一部分。当单独使用时，MSI-2在其较高评分阈值（指数A）下识别出237个光谱（51.3%），而MBT/NIH数据库在≥2.0的等效阈值下仅识别出183个光谱（39.6%;P< 0.001）。所有三个数据库在各自的高阈值的组合提高了327光谱（70.8%）的识别灵敏度。MSI-2与MBT/NIH数据库在较低阈值（分别为指数B或≥1.7）下的组合识别了400/462个环境光谱（86.6%）。我们的研究结果表明，MSI-2数据库，与现有的数据库相结合，可能是有用的环境监测，特别是临床或行业实验室参与cGMP或当前良好的组织规范（cGTP）的应用，如细胞治疗生产设施和无菌复合药房。
Accurate mold identification by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) is dependent on robust organism representation in available databases. The Mass Spectrometry Identification (MSI) platform has proven successful for mold identification in clinical and veterinary settings but has yet to be studied with a large set of environmental isolates. Here, we performed a retrospective study using spectra collected by the Bruker MALDI Biotyper (MBT) v4.1 microflex LT instrument to evaluate the MSI-2 database alongside the combined use of the Bruker MBT (including the MBT Filamentous Fungi Library) and the National Institutes of Health (NIH) mold database (MBT/NIH databases). Analysis was performed for 462 environmental fungal isolates (representing 73 different fungi) cultured from the hospital pharmacy and cellular therapy suites as part of the current good manufacturing practices (cGMP) environmental monitoring program at the NIH. When used alone, MSI-2 identified 237 spectra (51.3%) at its higher score threshold (index A), while the MBT/NIH databases identified only 183 spectra (39.6%;P< 0.001) at the equivalent threshold of ≥2.0. The combination of all three databases at the respective high thresholds improved identification sensitivity to 327 spectra (70.8%). The combination of MSI-2 with the MBT/NIH databases at a lowered threshold (index B or ≥1.7, respectively) identified 400/462 environmental spectra (86.6%). Our results show that the MSI-2 database, in combination with existing databases, may be useful for environmental surveillance, particularly by clinical or industry laboratories involved in cGMP or current good tissue practices (cGTP) applications, such as cellular therapy manufacturing facilities and sterile compounding pharmacies.